Here are my CV and research statement.
Blog: https://ucsdml.github.io/
Pool-based active learning in Python
- Understanding Rare Spurious Correlations in Neural Networks: [paper] [code]
- What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning: [paper] [code]
- TorchAudio: Building Blocks for Audio and Speech Processing: [paper] [code] [benchmark-implementation]
- Probing Predictions on OOD Images via Nearest Categories: [paper] [arxiv] [code]
- Connecting Interpretability and Robustness in Decision Trees through Separation: [paper] [code]
- A Closer Look at Accuracy vs. Robustness: [paper] [code] [blog post]
- Robustness for Non-Parametric Classification: A Generic Attack and Defense: [paper] [code] [blog post]
- Deep Learning with a Rethinking Structure for Multi-label Classification: [paper] [code]
- Cost-Sensitive Reference Pair Encoding for Multi-Label Learning: [paper] [code]